2026 Sanja Fidler: Computer Science Researcher – H-Index, Publications & Awards

Discipline name	D-Index	World Ranking	Current World Ranking	National Ranking	Current National Ranking	Publications	Citations
Computer Science	87	710	687	25	21	233	37933

Research.com Recognitions

2025 - Research.com Computer Science in Canada Leader Award
2023 - Research.com Computer Science in Canada Leader Award
2022 - Research.com Computer Science in Canada Leader Award

Overview

Sanja Fidler is a researcher affiliated with the University of Toronto in Canada. Their academic work spans several fields within computer science, with a particular focus on computer vision, computer graphics, and artificial intelligence. Fidler's research output includes a significant number of publications, totaling nearly 300 in computer science and over 80 in engineering.

Their studies cover multiple subfields, including:

Computer Vision and Pattern Recognition
Computational Mechanics
Artificial Intelligence
Computer Graphics and Computer-Aided Design
Control and Systems Engineering

Within these areas, the main topics of their work include:

Computer Graphics and Visualization Techniques
3D Shape Modeling and Analysis
Generative Adversarial Networks and Image Synthesis
Advanced Vision and Imaging
Advanced Neural Network Applications
Human Pose and Action Recognition
Human Motion and Animation

Fidler has published extensively in prominent venues, such as:

arXiv (Cornell University)
ACM Transactions on Graphics
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
2021 IEEE/CVF International Conference on Computer Vision (ICCV)
Lecture notes in computer science

Their recent publications include:

Extracting Triangular 3D Models, Materials, and Lighting From Images, 2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
LION: Latent Point Diffusion Models for 3D Shape Generation, 2022, arXiv (Cornell University)
GET3D: A Generative Model of High Quality 3D Textured Shapes Learned from Images, 2022, arXiv (Cornell University)
The EPIC-KITCHENS Dataset: Collection, Challenges and Baselines, 2020, IEEE Transactions on Pattern Analysis and Machine Intelligence
ASE, 2022, ACM Transactions on Graphics

Fidler frequently collaborates with several co-authors, including:

Karsten Kreis
Žan Gojčič
Or Litany
Huan Ling
David Acuna

Best Publications

Scene Parsing through ADE20K Dataset

Bolei Zhou;Hang Zhao;Xavier Puig;Sanja Fidler

3033
Citations
Aligning Books and Movies: Towards Story-Like Visual Explanations by Watching Movies and Reading Books

Yukun Zhu;Ryan Kiros;Rich Zemel;Ruslan Salakhutdinov

2302
Citations
Skip-thought vectors

Ryan Kiros;Yukun Zhu;Ruslan Salakhutdinov;Richard S. Zemel

2155
Citations
Semantic Understanding of Scenes Through the ADE20K Dataset

Bolei Zhou;Hang Zhao;Xavier Puig;Tete Xiao

1709
Citations
The Role of Context for Object Detection and Semantic Segmentation in the Wild

Roozbeh Mottaghi;Xianjie Chen;Xiaobai Liu;Nam-Gyu Cho

1527
Citations
Monocular 3D Object Detection for Autonomous Driving

Xiaozhi Chen;Kaustav Kundu;Ziyu Zhang;Huimin Ma

1068
Citations
Magic3D: High-Resolution Text-to-3D Content Creation

Unknown

1019
Citations
VSE++: Improving Visual-Semantic Embeddings with Hard Negatives.

Fartash Faghri;David J. Fleet;Jamie Ryan Kiros;Sanja Fidler

871
Citations
3D object proposals for accurate object class detection

Xiaozhi Chen;Kaustav Kundu;Yukun Zhu;Andrew Berneshawi

821
Citations
Scaling Egocentric Vision: The EPIC-KITCHENS Dataset

Dima Damen;Hazel Doughty;Giovanni Maria Farinella;Sanja Fidler

762
Citations
Gated-SCNN: Gated Shape CNNs for Semantic Segmentation

Towaki Takikawa;David Acuna;Varun Jampani;Sanja Fidler

762
Citations
Align Your Latents: High-Resolution Video Synthesis with Latent Diffusion Models

Unknown

719
Citations
MovieQA: Understanding Stories in Movies through Question-Answering

Makarand Tapaswi;Yukun Zhu;Rainer Stiefelhagen;Antonio Torralba

673
Citations
Lift, Splat, Shoot: Encoding Images From Arbitrary Camera Rigs by Implicitly Unprojecting to 3D

Jonah Philion;Sanja Fidler

629
Citations
Detect What You Can: Detecting and Representing Objects Using Holistic Models and Body Parts

Xianjie Chen;Roozbeh Mottaghi;Xiaobai Liu;Sanja Fidler

627
Citations
Towards Diverse and Natural Image Descriptions via a Conditional GAN

Bo Dai;Sanja Fidler;Raquel Urtasun;Dahua Lin

542
Citations
Describing the scene as a whole: Joint object detection, scene classification and semantic segmentation

Jian Yao;Sanja Fidler;Raquel Urtasun

537
Citations
3D Graph Neural Networks for RGBD Semantic Segmentation

Xiaojuan Qi;Renjie Liao;Jiaya Jia;Sanja Fidler

492
Citations
Predicting Deep Zero-Shot Convolutional Neural Networks Using Textual Descriptions

Jimmy Lei Ba;Kevin Swersky;Sanja Fidler;Ruslan Salakhutdinov

456
Citations
3D Object Proposals Using Stereo Imagery for Accurate Object Class Detection

Xiaozhi Chen;Kaustav Kundu;Yukun Zhu;Huimin Ma

436
Citations
Neural Geometric Level of Detail: Real-time Rendering with Implicit 3D Shapes

Towaki Takikawa;Joey Litalien;Kangxue Yin;Karsten Kreis

425
Citations
Order-Embeddings of Images and Language

Ivan Vendrov;Ryan Kiros;Sanja Fidler;Raquel Urtasun

422
Citations
VirtualHome: Simulating Household Activities Via Programs

Xavier Puig;Kevin Ra;Marko Boben;Jiaman Li

265
Citations

Frequent Co-Authors

Raquel Urtasun University of Toronto

Antonio Torralba MIT

Ales Leonardis University of Birmingham

Dahua Lin Chinese University of Hong Kong

Sven Dickinson University of Toronto

Renjie Liao University of British Columbia

Ruslan Salakhutdinov Carnegie Mellon University

Dima Damen University of Bristol

Jimmy Ba University of Toronto

Roozbeh Mottaghi University of Washington

External Links

Wikipedia of Sanja Fidler Personal website of Sanja Fidler Google Scholar page

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